The AutoComplete is a textbox component that provides a list of suggestions to select from as the user types. This has several out of box features such as data binding, filtering, grouping, UI customization, accessibility, and more.
You can bind data from a variety of data sources in the array of primitive data, JSON data collections, or remote data source using different kinds of adaptors such as OData, OData V4, URL, JSON, and Web API. This uses Essential JS 2’s data manager to manage data and also has customization option for data request and processing.
Built-in filtering support with a rich set of filtering configurations is available to match all your application needs.
Provides support to filter data based on starts with, ends with, and contains.
You can customize the filter query or use your own filter libraries to set filtered data.
AutoComplete has diacritic character sensitivity. This behavior can be turned on/off.
Possibility to limit the number of suggestions to be displayed in the filtered list.
You can filter data with or without considering the casing for typed characters.
Provides option to set the number of characters required to filter.
You can configure different visual appearances for the matching text of each suggestion.
Controls the appearance of each item displayed in the suggestion list using templating.
Defines custom appearance of each suggestion item using item template.
Designs its own header for the suggestion list using header template.
Designs its own custom footer for the suggestion list using footer template.
Adds icons to each suggestion item.
Configures custom look if there is no suggestion to display.
The AutoComplete component has autofill option. This completes the word that the user types from the suggestion text. The end user can search for the items easily.
Generates a suggestion list to the users as they type in the textbox.
The width and height of the suggestion list is adjustable.
It is possible to hide the default suggestion list to bind the search result onto some other control such as grid.
Groups the suggestions based on different categories with individual header.
Developer can control whether the placeholder should float or not.
Provides responsive mode that gives adaptive redesigned UI appearance for mobile devices and recognizes touch gestures.
Fully supports WAI-ARIA accessibility that makes list view accessible to on-screen readers and assistive devices.
Follows WAI-ARIA best practices for implementing keyboard interaction.
Designed the UI element visuals such as foreground color, background color, line spacing, text, and images based on WCAG 2.0 standard.
Supports right to left (RTL) direction for users working in right-to-left languages like Hebrew, Arabic, or Persian.
Developers can customize all UI elements and control their behaviors according to the end user’s requirement using its rich set of client-side APIs.